Senior Product Manager

Radiant
London

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Job details

Full-time

Qualifications

Cloud infrastructure
Kubernetes
Docker
Machine learning
Cloud development
Mentoring
Agile
SaaS
AI
Leadership
Communication skills

Full job description

As a Senior Product Manager you will be responsible for leading the development of Radiant platform, leading product strategy, roadmap, and execution for a platform that balances the needs of customer deployability, operational reliability, and cutting-edge AI workload support.

Key Responsibilities

Lead the ideation, design and oversee the development of cutting edge AI Platform and ML products focused on compute, training and inference. Translate technical requirements and platform use cases into clear product specs and user stories.
Help organise Radiant’s AI cloud Platform Roadmap and prioritise Product work based on business and customer drivers.
Work closely with the engineering team, on roadmap alignment, epic creation, story writing and fleshing out details to ensure smooth delivery.
Help lead the development of the AI Cloud Platform, assist engineering with domain knowledge around AI and Kubernetes, participate in product reviews and own the documentation of AI products on Radiant Global Cloud.
Join Radiant Sales calls to support the sales process and gather insights into Customer’s requirements to help develop our products.
Assist existing Radiant customers as they leverage the OGC infrastructure and products to ensure they have an exceptional experience.
Assist with creation of product content (e.g. use cases, how-to guides) that helps customers get started with OGC. Actively publish AI blogs and content periodically.
Track the latest advancements in AI/ML technologies; evaluate and adopt new tools and frameworks that can benefit the Radiant product offering.

Your Profile

Demonstrated experience owning technical products end-to-end – from strategy to backlog to release.
Strong prioritisation and stakeholder management skills across technical and commercial domains.
Experience working with cross-functional engineering teams and agile delivery practices.
Deep understanding of cloud-native infrastructure: Kubernetes, container orchestration, service meshes, workload scheduling, observability, and multi-tenancy.
Ability to work both independently and collaboratively in a fast-paced environment.

Experience with Cloud Platforms and development of SaaS.
Experience with container technologies (Docker, Kubernetes)

Experience and knowledge of the MLOps ecosystem and tooling.
Eagerness to build the next generation of AI/ML tools.
Interested in working in a fast-paced startup environment, wearing multiple hats and always going the extra mile for the customer.
Developer and product, or similar background.

What You Bring

Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.
Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.
Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.
Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.
Ability to operate effectively amid ambiguity and adapt rapidly to a changing business environment.

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